Title: Green supplier selection in fuzzy context: a decision-making scenario on application of fuzzy-MULTIMOORA

Authors: Dilip Kumar Sen; Saurav Datta; Saroj Kumar Patel; Siba Sankar Mahapatra

Addresses: Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, Odisha, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, Odisha, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, Odisha, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, Odisha, India

Abstract: Green supply chain management has become an important avenue in current business scenario. The concept of GSCM is to integrate environmental thinking into traditional supply chain management. A firm's sustainability performance is greatly influenced by appropriate supplier selection in the green supply chain context. In selecting appropriate green supplier, various green criteria need to be considered along with traditional supplier selection criteria. The decision making in the context of green supplier selection becomes much more complex due to involvement of subjective selection criteria. Subjective human judgment often bears ambiguity and vagueness in the decision making; whilst fuzzy set theory overcomes the challenges of imprecise and inconsistent human judgment in ambiguous decision environment. In this context, a decision making scenario in relation to green supplier selection has been articulated in this paper aiming to investigate the applicability of MULTIMOORA in fuzzy setting (F-MULTIMOORA). The ranking order of candidate suppliers has been compared to that of fuzzy-TOPSIS. Finally, an attempt has been made to determine a unique quantitative performance index for each of the green suppliers; based on which a ranking order has also been arrived.

Keywords: green supply chain management; GSCM; F-MULTIMOORA; fuzzy-TOPSIS.

DOI: 10.1504/IJSOM.2017.085907

International Journal of Services and Operations Management, 2017 Vol.28 No.1, pp.98 - 140

Received: 17 Sep 2015
Accepted: 18 Feb 2016
Published online: 18 Aug 2017 *

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